The computational bottleneck in all informationbased
algorithms for SLAM is the recovery of the state mean and
covariance. The mean is needed to evaluate model Jacobians and
the covariance is needed to generate data ...

This paper describes the design, analysis, and experimental results of an Attitude and Heading System based on a Dual Kalman Filtering technique. The presented scheme is suitable for implementation using low cost sensors. ...

A solution based on a Kalman filter to trace the evolution of the atmospheric boundary layer (ABL) sensed by a ground-based elastic-backscatter tropospheric lidar is presented. An erf-like profile is used to model the ...

A solution based on a Kalman filter to trace the evolution of the atmospheric boundary layer (ABL) sensed by an elastic
backscatter lidar is presented. An erf-like profile is used to model the mixing layer top and the ...

This paper describes the design, analysis, and experimental results of an Attitude and Heading System based on total state (direct) Extended Kalman Filtering technique. The
presented scheme is suitable for implementation ...

[ANGLÈS] Kalman Filter is nowadays one of the most used tool to perform sensor fusion in navigation environments, i.e. combine information from several different sensors to obtain the optimal navigation solution. However, ...

A first inversion of the backscatter profile and extinction-to-backscatter ratio from pulsed elastic-backscatter lidar returns is treated by means of an extended Kalman filter (EKF). The EKF approach enables one to overcome ...

This article tackles some ideas about parameters identification in the anode line of a typical PEM fuel cell test station. The approach is focused in the nonlinear model structure and solves an observation problem using a ...

[ANGLÈS] Heart diseases are the cause of many deaths during prenatal, childbirth and newborn periods. Therefore, the study of the fetal cardiac signals might be very helpful in order to evaluate the fetal heart status for ...

This paper introduces an approach that reduces
the size of the state and maximizes the sparsity of the information
matrix in exactly sparse delayed-state SLAM. We
propose constant time procedures to measure the ...

This contribution evaluates an approach using an extended Kalman filter (EKF) to estimate the planetary boundary layer height (PBLH) from lidar measurements obtained in the framework of the European Aerosol Research LIdar ...

Origin–destination (O-D) trip matrices that describe the patterns of traffic behavior across a network are the primary data input used in principal traffic models and, therefore, a critical requirement in all advanced ...

This paper presents an improved variable hysteresisband current-control in natural frame for a three-phase unity power rectifier. The proposed control algorithm is based on three decoupled sliding-mode controllers combined ...

[ANGLÈS] Indoor localization based on Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA) has been a promising subject of study the last years. In this thesis, a moving target is tracked by receiving ...

From the point of view of the information supplied by an ATIS to the motorists entering a freeway of one of the most relevant is the Forecasted Travel Time, that is the expected travel time that they will
experience when ...